A Coordinated Dispatching Model Considering Generation and Operation Reserve in Wind Power-Photovoltaic-Pumped Storage System

Dai Cui, Fei Xu, Weichun Ge, Pengxiang Huang and Yunhai Zhou
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Dai Cui: School of Electrical Engineering, Shenyang University of Technology, Shenyang 100084, China
Fei Xu: Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Weichun Ge: School of Electrical Engineering, Shenyang University of Technology, Shenyang 100084, China
Pengxiang Huang: College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443000, China
Yunhai Zhou: College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443000, China

Energies, 2020, vol. 13, issue 18, 1-24

Abstract: Large-scale grid integration of renewable energy increases the uncertainty and volatility of power systems, which brings difficulties to output planning and reserve decision-making of power system units. In this paper, we innovatively combined the non-parametric kernel density estimation method and scenario method to describe the uncertainty of renewable energy outputs, and obtained a representative set of renewable energy output scenarios. In addition, we proposed a new method to determine the reserve capacity demand. Further, we derived the quantitative relationship between the reserve demand and the power system reliability index, which was used as the constraint condition of a day-ahead power generation dispatch. Finally, a coordinated dispatching model of power generation and reserve was established, which had the lowest penalty for curtailment of wind power and photovoltaic, as well as the lowest total operating cost for thermal power units, gas power units, and pumped storage power station. By simulating three different working conditions, the proposed model was compared with the traditional deterministic model. Results showed that our proposed method significantly improved system efficiency while maintaining system reliability.

Keywords: pumped storage; renewable energy; operation reserve; non-parametric kernel density estimation; scenario method; coordinated dispatching (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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